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The integration of artificial intelligence (AI) into retinopathy of prematurity (ROP) screening represents an important advancement in neonatal ophthalmology, particularly in settings facing specialist shortages and scre...

Abstract This article argues that a register-based Multi-Dimensional (MD) description is a suitable route for characterizing AI-generated language in corpus linguistics. The argument is illustrated with two sample studie...

Abstract Financial institutions continue to face a significant challenge with money laundering and need intelligent, scalable ways to detect illegal financial activity. This paper introduces a machine learning-driven pla...

Artificial Intelligence (AI) refers to systems designed to perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language processing. Its integration into Human Resource Man...

Background and Purpose: Insufficient documentation of artificial intelligence (AI) models remains a widespread issue, which hampers reproducibility in research environments and safe integration in clinical departments. O...

This study examines the factors that determine whether firms adopt AI and are ready to invest, and explores labour-market and employment-related expectations in wartime Ukraine. Methodology. The study is based on origina...

IntroductionWith the intensification of global population aging, mental health problems among older adults have become increasingly prominent. As an important innovative approach in smart eldercare, artificial intelligen...

Artificial Intelligence (AI) has become a key factor in the development of countries. Countries have recognized the potential of using AI to achieve sustainable development. This research explores the potential of the So...

Artificial Intelligence (AI) is transforming modern workplaces by offering opportunities to enhance employee well-being while simultaneously introducing significant challenges. Although scholarly interest in the intersec...

Abstract Precise extraction of medical phenotypes and entities from electronic health record (EHR) text is vital for numerous clinical research tasks, including cohort classification, tracking temporal patterns in diseas...

Abstract Objective Acute heart failure (AHF) is a common but underrecognized cause of dyspnea. Chest computed tomography (CT) can accurately assess pulmonary congestion, but radiologist reporting capacity may limit clini...

BackgroundArtificial intelligence (AI) has substantial potential to advance periodontal and peri- implant care through novel diagnostic, prognostic, and therapeutic opportunities. Nevertheless, the evidence is scattered ...

Abstract Artificial intelligence (AI) has transformed social media into a powerful tool for educational learning engagements. WeChat, a Chinese social media platform, is extensively used by students for academic learning...

This research aims to identify ethical-philosophical issues arising from AI technology's presence in the academic world and identify the impact of AI's presence in the academic world on humanity's future as global citize...

Abstract Background Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (CTG) is widely used to predict fetal hypoxia during labor, but its interpretation remains suboptimal. Artificial...

The integration of Artificial Intelligence (AI) in higher education presents both opportunities and ethical challenges. In Malaysia, private universities are adopting AI at a pace that often outshines the development of ...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

The emergence of business intelligence (BI) from advancements in information technology transforms vast amounts of company data into valuable information crucial for strategic decision-making. Numerous studies have sho...

More flexible and cooperative decision-making processes are required as a result of society's digital transformation. The role of augmented intelligence, that is the synergistic fusion of artificial intelligence and huma...

Abstract The proposed empirical research investigated the impact of emotional maturity on job satisfaction among healthcare employees. The study further examined the mediating and moderating roles of emotional intelligen...

Cardiovascular diseases remain the leading cause of mortality worldwide, making accurate and efficient imaging-based diagnosis indispensable. Modern modalities such as Coronary Computed Tomography Angiography, Cardiac Ma...

This study examines the application of artificial intelligence in analyzing and understanding the urban morphology of Zanjan. The primary objective of this research is to propose a machine learning-based framework for th...

Artificial Intelligence (AI) Technology has potential benefits and challenges that the law of awareness must overcome. Behavior contrary to legal norms often appears in AI, which can harm and endanger the nation's life. ...

The landscape of higher education (HE) continues to change rapidly with the incorporation of new artificial intelligence (AI) applications like generative artificial intelligence (genAI). These transformations can be att...